Former DJI Engineer Starts Up to Make Smart Tennis Ball Machine, Product Begins Mass Delivery in Overseas Markets 36氪首发 | 前大疆工程师创业做智能网球发球机，产品已开启海外市场批量交付

Summary

AceiiLab (Yisi Intelligent) completes over 10 million yuan in angel funding, and its products begin mass delivery to overseas markets. The team has a background in robotics development from companies like DJI and KUKA, as well as experience in exporting consumer hardware, starting with an AI tennis robot to build an intelligent training ecosystem. The core product, Aceiilab A1, adopts the logic of "multi-space serving instead of hitting," equipped with self-developed binocular vision and differential drive chassis, achieving high-speed movement and intelligent trajectory tracking. The company emphasizes software and data barriers, collecting user hitting data through an App to form skill profiles and provide personalized training plans. The product raised over $820,000 on Kickstarter, with plans to launch domestically on e-commerce platforms and advance the development of the next-generation product.

Deep Analysis

TL;DR

• AceiiLab (Yisi Intelligent) completes over 10 million yuan in angel funding, and its products begin mass delivery to overseas markets.
• The team has a background in robotics development from companies like DJI and KUKA, as well as experience in exporting consumer hardware, starting with an AI tennis robot to build an intelligent training ecosystem.
• The core product, Aceiilab A1, adopts the logic of "multi-space serving instead of hitting," equipped with self-developed binocular vision and differential drive chassis, achieving high-speed movement and intelligent trajectory tracking.
• The company emphasizes software and data barriers, collecting user hitting data through an App to form skill profiles and provide personalized training plans.
• The product raised over $820,000 on Kickstarter, with plans to launch domestically on e-commerce platforms and advance the development of the next-generation product.

Why It's Worth Reading

This case demonstrates the innovative application of AI and robotics technology in sports training scenarios, reflecting the trend of transformation from traditional tools to intelligent and service-oriented models. For professionals focusing on embodied intelligence, consumer electronics exports, and vertical AI implementations, its closed-loop model of "hardware + data + services" is worth reference.

Technical Analysis

• Product Architecture: Aceiilab A1 adopts a suitcase-style mobile form, consisting of active wheels, drive systems, and support legs after unfolding, forming a stable high-speed mobile unit supporting a maximum speed of 5 m/s.
• Perception System: Equipped with a self-developed binocular vision system, it perceives balls, people, positions, speeds, and trajectories in real time, working with the differential drive chassis for flexible steering and positioning.
• Motion Control: Based on AGV/AMR technology accumulation, it achieves dynamic multi-space serving, simulating real rally rhythms, avoiding limitations of fixed-point training.
• Software Ecosystem: The accompanying App provides ball path settings, training courses, and data analysis functions, collaborating with partners to develop systematic courses, forming a training closed loop.
• Data Collection Mechanism: Continuously records parameters such as ball speed, landing point, spin, and displacement, constructing user skill profiles to provide basis for subsequent personalized training plans.

Industry Insights

• Robotics Genes Determine Differentiated Competitiveness: Hardware merely adding AI functions is difficult to form barriers; integrating underlying capabilities in mechanics, electrical control, and motion control creates new scenarios.
• Data-Driven Service Orientation Is a Long-Term Moat: With hardware performance becoming similar, software service capabilities formed around training data become key competition drivers, promoting a positive cycle of "data-effect-retention."
• Consumer Design Enhances User Experience and Popularization: Converting industrial equipment into portable, aesthetically pleasing consumer electronics (e.g., suitcase design) helps lower usage thresholds and accelerate market penetration.

TL;DR

• 一思智能（AceiiLab）完成超千万元天使轮融资，产品开启海外市场批量交付。
• 团队具备大疆、KUKA等机器人研发背景及消费硬件出海经验，从AI网球机器人切入构建智能训练生态。
• 核心产品Aceiilab A1采用“多空间以发代打”逻辑，搭载自研双目视觉与差速底盘，实现高速移动与智能轨迹追踪。
• 公司强调软件与数据壁垒，通过App采集用户击球数据形成技能画像并提供个性化训练方案。
• 产品在Kickstarter筹集超82万美元，国内计划上线电商并推进下一代产品研发。

为什么值得看

该案例展示了AI与机器人技术在体育训练场景中的创新应用，体现了从传统工具向智能化、服务化转型的趋势。对于关注具身智能、消费电子出海及垂直领域AI落地的从业者而言，其“硬件+数据+服务”的闭环模式具有参考价值。

技术解析

• 产品架构：Aceiilab A1采用行李箱式移动形态，展开后由主动轮、驱动系统和支腿构成稳定高速移动单元，支持5m/s最高速度。
• 感知系统：搭载自研双目视觉系统，实时感知球、人、位置、速度与轨迹，配合差速底盘实现灵活转向与定位。
• 运动控制：基于AGV/AMR技术积累，实现多空间动态发球，模拟真实对拉节奏，避免固定点位训练的局限性。
• 软件生态：配套App提供球路设置、训练课程、数据分析功能，联合合作伙伴开发系统化课程，形成训练闭环。
• 数据采集机制：持续记录球速、落点、旋转、位移等参数，构建用户技能画像，为后续个性化训练方案提供依据。

行业启示

• 机器人基因决定差异化竞争力：单纯叠加AI功能的硬件难以形成壁垒，需融合机械、电控、运动控制等底层能力创造新场景。
• 数据驱动的服务化是长期护城河：硬件性能趋同背景下，围绕训练数据形成的软件服务能力将成为竞争关键，推动“数据—效果—留存”正向循环。
• 消费级设计提升用户体验与普及度：将工业设备转化为便携、美观的消费电子产品（如行李箱式设计），有助于降低使用门槛并加速市场渗透。